4 papers
FRAC-MAS: A Safe and Explainable Multi-Agent System for Fracture Diagnosis
Hardik Iyer, Tirath Bhathawala, Mihir Panchal +4
Fracture detection and its clinical interpretability see notable improvements when deep vision models are integrated with agentic AI architectures. While deep learning models achie…
CraniMem: Cranial Inspired Gated and Bounded Memory for Agentic Systems
Pearl Mody, Mihir Panchal, Rishit Kar +2
Large language model (LLM) agents are increasingly deployed in long running workflows, where they must preserve user and task state across many turns. Many existing agent memory sy…
Indic-TunedLens: Interpreting Multilingual Models in Indian Languages
Mihir Panchal, Deeksha Varshney, Mamta +1
Multilingual large language models (LLMs) are increasingly deployed in linguistically diverse regions like India, yet most interpretability tools remain tailored to English. Prior…
CC-GRMAS: A Multi-Agent Graph Neural System for Spatiotemporal Landslide Risk Assessment in High Mountain Asia
Mihir Panchal, Ying-Jung Chen, Surya Parkash
Landslides are a growing climate induced hazard with severe environmental and human consequences, particularly in high mountain Asia. Despite increasing access to satellite and tem…